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# Algorithmic Audit: Analyzing the Fairness and Potential Inequities in the Review of Civilian Complaints to the NYPD

![banner](https://github.com/jacquelinekclee/algorithmic-audit-nyc-ccrb/blob/e9335a593b1bc0ce3243331f45711f5d3918c02a/image.png)
![banner](https://github.com/jacquelinekclee/algorithmic-audit-nyc-ccrb/blob/e6fe2eb9f6dbe7af249f0bac74fd1296b2e5d088/Screen%20Shot%202022-09-08%20at%205.37.33%20PM.png)

[CCRB logo](https://www1.nyc.gov/assets/ccrb/images/content/header/logo.png), [NYC Department of Education logo](https://wikidownload.com/wiki/york-city-school-calendar/), [SAT logo](https://commons.wikimedia.org/wiki/File:New_SAT_Logo_(vector).svg)
[CCRB logo](https://www1.nyc.gov/assets/ccrb/images/content/pages/board-members/image_missing.png), [NYPD logo](https://en.wikipedia.org/wiki/New_York_City_Police_Department)

# For Full Paper, [Click Here](https://github.com/jacquelinekclee/algorithmic-audit-nyc-ccrb/blob/aa536a7c4a71f71eaf114cd817be665e8a0b5252/paper2.pdf)

# Table of contents

- [Background](#background)
- [Usage](#usage)
- [The Data](#the-data)
- [Linear Regression and Scatter Plot](#linear-regression-and-scatter-plot)
- [The Logistic Regression Model](#the-logistic-regression-model)
- [Overview of Parity Measures and Fairness] (#overview-of-parity-measures-and-fairness)
- [Findings and Conclusion](#findings-and-conclusion)
- [Legality](#legality)

# Background

This paper and this analysis was done during Spring 2022 as part of the course [DSC 167](https://afraenkel.github.io/fairness-algo-decision/): Fairness and Algorithmic Decision Making at UC San Diego's Halıcıoğlu Data Science Institute.

[(Back to top)](#table-of-contents)

# The Data

[(Back to top)](#table-of-contents)

# The Logistic Regression Model

[(Back to top)](#table-of-contents)

# Overview of Parity Measures and Fairness

[(Back to top)](#table-of-contents)

# Findings and Conclusion

[(Back to top)](#table-of-contents)

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